Quantifying Variable Interactions in Continuous Optimization Problems
Published in IEEE Transactions on Evolutionary Computation • Aug 10, 2016
Authors:,,
Yuan Sun
Michael Kirley
Saman Halgamuge
Abstract
Interactions between decision variables typically make an optimization problem challenging for an evolutionary algorithm (EA) to solve. Exploratory landscape analysis (ELA) techniques can be used to quantify the level of variable interactions in an optimization problem. However, many studies using E...
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